TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/byte mLSTM7

byte mLSTM7

Reported on 8 benchmarks across 4 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing7 results

  • Sentiment AnalysisonCR
    Accuracy· 2018-05-14
    90.6
    best: 93.54 (AnglE-LLaMA-7B)
    SOTA
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388
  • Sentiment AnalysisonMR
    Accuracy· 2018-05-14
    86.8
    best: 93.3 (VLAWE)
    SOTA
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388
  • Sentiment AnalysisonMPQA
    Accuracy· 2018-05-14
    88.8
    best: 90.8 (RoBERTa-large 355M + Entailment as Few-shot Learner)
    SOTA
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388
  • Sentiment AnalysisonSST-5 Fine-grained classification
    Accuracy· 2018-05-14
    54.6
    best: 62.27 (Llama-3.3-70B + CAPO)
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388
  • Sentiment AnalysisonSST-2 Binary classification
    Accuracy· 2018-05-14
    91.7
    best: 97.5 (T5-11B)
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388
  • Subjectivity AnalysisonSUBJ
    Accuracy· 2018-05-14
    94.7
    best: 97.34 (RoBERTa+DualCL)
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388
  • Text ClassificationonTREC-6
    Error· 2018-05-14
    9.6
    best: 0.4 (Automatic Label Error Correction)
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388

Methodology1 result

  • ClassificationonTREC-6
    Error· 2018-05-14
    9.6
    best: 0.4 (Automatic Label Error Correction)
    A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsarXiv:1805.05388